Similarity measures for FL0 concept descriptions from an automata-theoretic point of view T Racharak, B Suntisrivaraporn Information and Communication Technology for Embedded Systems (IC-ICTES …, 2015 | 17 | 2015 |
A summary of the alqac 2021 competition NH Thanh, BM Quan, C Nguyen, T Le, NM Phuong, DT Binh, VTH Yen, ... 2021 13th international conference on knowledge and systems engineering (kse …, 2021 | 14 | 2021 |
sim^\pi: A Concept Similarity Measure under an Agent's Preferences in Description Logic ELH T Racharak, B Suntisrivaraporn, S Tojo Proceedings of the 8th International Conference on Agents and Artificial …, 2016 | 14 | 2016 |
Personalizing a concept similarity measure in the description logic ELH with preference profile T Racharak, B Suntisrivaraporn, S Tojo Computing and Informatics, 2018 | 12 | 2018 |
Identifying an agent’s preferences toward similarity measures in description logics T Racharak, B Suntisrivaraporn, S Tojo Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang …, 2016 | 10 | 2016 |
Argument-based logic programming for analogical reasoning T Racharak, S Tojo, ND Hung, P Boonkwan New Frontiers in Artificial Intelligence: JSAI-isAI 2016 Workshops, LENLS …, 2017 | 9 | 2017 |
Combining answer set programming with description logics for analogical reasoning under an agent’s preferences T Racharak, S Tojo, ND Hung, P Boonkwan Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 9 | 2017 |
An ontology-based expert system for rice disease identification and control recommendation W Jearanaiwongkul, C Anutariya, T Racharak, F Andres Applied Sciences 11 (21), 10450, 2021 | 8 | 2021 |
On Explanation of Propositional Logic-based Argumentation System. T Racharak, S Tojo ICAART (2), 323-332, 2021 | 8 | 2021 |
On Approximation of Concept Similarity Measure in Description Logic ELH With Pre-Trained Word Embedding T Racharak IEEE Access 9, 61429-61443, 2021 | 6 | 2021 |
Multimodal Sentiment Analysis on Video Streams using Lightweight Deep Neural Networks. A Yakaew, MN Dailey, T Racharak ICPRAM, 442-451, 2021 | 6 | 2021 |
Knowledge injection to neural networks with progressive learning strategy HT Nguyen, TK Vu, T Racharak, LM Nguyen, S Tojo Agents and Artificial Intelligence: 12th International Conference, ICAART …, 2021 | 5 | 2021 |
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation G Sun, Y Pan, W Kong, Z Xu, J Ma, T Racharak, LM Nguyen arXiv preprint arXiv:2310.12570, 2023 | 4 | 2023 |
An Effective Method to Answer Multi-hop Questions by Single-hop QA System. K Yuntao, NM Phuong, T Racharak, T Le, Le Minh Nguyen 0001 ICAART (2), 244-253, 2022 | 4 | 2022 |
Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation. MM Zin, T Racharak, NM Le ICAART (2), 333-342, 2021 | 4 | 2021 |
On construction and evaluation of analogical arguments for persuasive reasoning T Racharak, S Tojo, ND Hung, P Boonkwan Applied Artificial Intelligence 33 (13), 1107-1132, 2019 | 4 | 2019 |
Concept Similarity under the Agent's Preferences for the Description Logic FL0 with Unfoldable TBox. T Racharak, S Tojo ICAART (2), 201-210, 2018 | 4 | 2018 |
A regularization-based generative adversarial network for single image super-resolution S Viriyavisuthisakul, N Kaothanthong, P Sanguansat, T Racharak, ... The eleventh international workshop on image media quality and its …, 2022 | 3 | 2022 |
Toward Forecast Techniques in Optimal Sizing of Energy Storage System with Volatile Energy Sources for Hybrid Renewable Energy System A Kwangkaew, T Racharak, C Charoenlarpnopparut 2020 International Conference on Smart Grids and Energy Systems (SGES), 390-395, 2020 | 3 | 2020 |
Progressive Training in Recurrent Neural Networks for Chord Progression Modeling. TK Vu, T Racharak, S Tojo, HT Nguyen, Le Minh Nguyen 0001 ICAART (2), 89-98, 2020 | 3 | 2020 |